Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/53789

TitleNeural network in computer vision for RoboCup middle size league
Author(s)Ribeiro, Paulo Rogério de Almeida
Lopes, Gil
Ribeiro, António Fernando
KeywordsRoboCup
Computer Vision
Artificial Neural Network
Issue date2016
PublisherScientific Research Publishing
JournalJournal of Software Engineering and Applications
Abstract(s)Robot World Cup Initiative (RoboCup) is a worldwide competition proposed to advance research in robotics and artificial intelligence. It has a league called RoboCup soccer devoted for soccer robots. Robotic soccer is a challenge because robots are mobile, fully autonomous, multi-agents, and they play on a dynamic environment. Moreover, robots must recognize the game entities, which is a crucial task during a game. A camera is usually used as an input system to recognize ball, opponents, soccer field, and so on. These elements may be recognized applying some tools of computational intelligence, for example an artificial neural network. This paper describes the application of an artificial neural network on middle size robotic football league, where a multilayer perceptron neural network is trained with the backpropagation algorithm, to classify elements on the image. The results show that an artificial neural network successfully classified the entities. They were recognized even when similar color entities were present on the image.
TypeArticle
URIhttp://hdl.handle.net/1822/53789
DOI10.4236/jsea.2016.97022
ISSN1945-3116
e-ISSN1945-3124
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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